Results 211 to 220 of about 645,699 (249)

Exploring The Potential of HMMs in Linguistics for Part of Speech (POS) Tagging

International Conference on Industrial Technology, 2023
The exponential growth in the adoption of information and communication technologies has sparked a notable surge in the demand for Natural Language Processing (NLP) tools.
Mahnoor Iftikhar, Raja Hashim Ali, Memoona Saleem, Usama Arshad, Ali Zeeshan Ijaz, Nisar Ali, Muhammad Imad, Muhammad Abu Bakar, Ali Aftab   +8 more
semanticscholar   +1 more source

Sentimental Analysis on Student Feedback using NLP & POS Tagging

2022 International Conference on Edge Computing and Applications (ICECAA), 2022
Sentiment analysis has been extensively used in a variety of fields in the previous decade, including business, social media, and education. The usage of sentiment analysis is rising, but it remains difficult, particularly in the education area, where ...
N. R., P. S, Pramath. P. Harithas, Vinayak Hegde   +3 more
semanticscholar   +1 more source

Part-of-Speech (POS) Tagging Using Deep Learning-Based Approaches on the Designed Khasi POS Corpus

ACM Trans. Asian Low Resour. Lang. Inf. Process., 2021
Part-of-speech (POS) tagging is one of the research challenging fields in natural language processing (NLP). It requires good knowledge of a particular language with large amounts of data or corpora for feature engineering, which can lead to achieving a ...
Sunita Warjri, Partha Pakray, Saralin A. Lyngdoh, Arnab Kumar Maji   +3 more
semanticscholar   +1 more source

A Systematic Review on POS Tagging

2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE), 2022
R. V. Siva Balan, Kirti Walia, Kavita Gupta   +2 more
exaly   +2 more sources

Improving Code-mixed POS Tagging Using Code-mixed Embeddings

ACM Trans. Asian Low Resour. Lang. Inf. Process., 2020
Social media data has become invaluable component of business analytics. A multitude of nuances of social media text make the job of conventional text analytical tools difficult.
S. Bhattu, Satya Krishna Nunna, D. Somayajulu, Binay Pradhan   +3 more
semanticscholar   +1 more source

Deep Learning for Multilingual POS Tagging

2020
Various neural networks for sequence labeling tasks have been studied extensively in recent years. The main research focus on neural networks for the task are range from the feed-forward neural network to the long short term memory (LSTM) network with CRF layer. This paper summarizes the existing neural architectures and develop the most representative
Alymzhan Toleu, Gulmira Tolegen, Rustam Mussabayev   +2 more
openaire   +1 more source

Modeling POS Tagging for the Urdu Language

2020 International Conference on Emerging Trends in Smart Technologies (ICETST), 2020
This paper presents a Parts-of-Speech (POS) tagger for a low resourced “Urdu” language. POS tagging is a primary preprocessing step in many natural language processing tasks such as sentiment classification, syntactic parsing and named-entity recognition.
Zarmeen Nasim, Shaukat R. Abidi, Sajjad Haider   +2 more
semanticscholar   +1 more source

An Experimental Study on Vietnamese POS Tagging

2009 International Conference on Asian Language Processing, 2009
In Natural Language Processing (NLP), Part-of-speech tagging is one of the important tasks. It, however, has not drawn much attention of Vietnamese researchers all over the world. In this paper, we present an experimental study on Vietnamese POS tagging.
Oanh Thi Tran, Cuong Anh Le, Quang-Thuy Ha, Quynh Hoang Le   +3 more
openaire   +1 more source

Unsupervised multilingual learning for POS tagging

Proceedings of the Conference on Empirical Methods in Natural Language Processing - EMNLP '08, 2008
We demonstrate the effectiveness of multilingual learning for unsupervised part-of-speech tagging. The key hypothesis of multilingual learning is that by combining cues from multiple languages, the structure of each becomes more apparent. We formulate a hierarchical Bayesian model for jointly predicting bilingual streams of part-of-speech tags.
Benjamin Snyder, Tahira Naseem, Jacob Eisenstein, Regina Barzilay   +3 more
openaire   +2 more sources

A Simple and Effective Neural Model for Joint Word Segmentation and POS Tagging

IEEE/ACM Transactions on Audio Speech and Language Processing, 2018
Joint models have shown stronger capabilities for Chinese word segmentation and POS tagging, and have received great interests in the community of Chinese natural language processing.
Meishan Zhang, Nan Yu, G. Fu
semanticscholar   +1 more source